Literature DB >> 28461113

Mixed Signals: On Separating Brain Signal from Noise.

Lucina Q Uddin1.   

Abstract

Accurate description of human brain function requires the separation of true neural signal from noise. Recent work examining spatial and temporal properties of whole-brain fMRI signals demonstrates how artifacts from a variety of sources can persist after rigorous processing, and highlights the lack of consensus on how to address this challenge.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  artifact removal; functional connectivity; global signal regression; resting-state fMRI

Mesh：

Year:  2017        PMID： 28461113      PMCID： PMC6033047          DOI： 10.1016/j.tics.2017.04.002

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN： 1364-6613            Impact factor:   20.229


  10 in total

1.  Neural basis of global resting-state fMRI activity.

Authors:  Marieke L Schölvinck; Alexander Maier; Frank Q Ye; Jeff H Duyn; David A Leopold
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-03       Impact factor: 11.205

2.  Functional connectivity of default mode network components: correlation, anticorrelation, and causality.

Authors:  Lucina Q Uddin; A M Kelly; Bharat B Biswal; F Xavier Castellanos; Michael P Milham
Journal:  Hum Brain Mapp       Date:  2009-02       Impact factor: 5.038

3.  Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI.

Authors:  Raimon H R Pruim; Maarten Mennes; Jan K Buitelaar; Christian F Beckmann
Journal:  Neuroimage       Date:  2015-03-11       Impact factor: 6.556

4.  Trouble at rest: how correlation patterns and group differences become distorted after global signal regression.

Authors:  Ziad S Saad; Stephen J Gotts; Kevin Murphy; Gang Chen; Hang Joon Jo; Alex Martin; Robert W Cox
Journal:  Brain Connect       Date:  2012

5.  Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

Authors:  B Biswal; F Z Yetkin; V M Haughton; J S Hyde
Journal:  Magn Reson Med       Date:  1995-10       Impact factor: 4.668

6.  Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.

Authors:  Rastko Ciric; Daniel H Wolf; Jonathan D Power; David R Roalf; Graham L Baum; Kosha Ruparel; Russell T Shinohara; Mark A Elliott; Simon B Eickhoff; Christos Davatzikos; Ruben C Gur; Raquel E Gur; Danielle S Bassett; Theodore D Satterthwaite
Journal:  Neuroimage       Date:  2017-03-14       Impact factor: 6.556

7.  Sources and implications of whole-brain fMRI signals in humans.

Authors:  Jonathan D Power; Mark Plitt; Timothy O Laumann; Alex Martin
Journal:  Neuroimage       Date:  2016-10-15       Impact factor: 6.556

8.  The influence of head motion on intrinsic functional connectivity MRI.

Authors:  Koene R A Van Dijk; Mert R Sabuncu; Randy L Buckner
Journal:  Neuroimage       Date:  2011-07-23       Impact factor: 6.556

9.  Towards a consensus regarding global signal regression for resting state functional connectivity MRI.

Authors:  Kevin Murphy; Michael D Fox
Journal:  Neuroimage       Date:  2016-11-22       Impact factor: 6.556

10.  A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series.

Authors:  Ameera X Patel; Prantik Kundu; Mikail Rubinov; P Simon Jones; Petra E Vértes; Karen D Ersche; John Suckling; Edward T Bullmore
Journal:  Neuroimage       Date:  2014-03-21       Impact factor: 6.556
  10 in total
  12 in total

Review 1.  Bring the Noise: Reconceptualizing Spontaneous Neural Activity.

Authors:  Lucina Q Uddin
Journal:  Trends Cogn Sci       Date:  2020-06-27       Impact factor: 20.229

2.  A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain.

Authors:  Noah Frazier-Logue; Justin Wang; Zheng Wang; Devin Sodums; Anisha Khosla; Alexandria D Samson; Anthony R McIntosh; Kelly Shen
Journal:  Front Neuroinform       Date:  2022-06-14       Impact factor: 3.739

3.  Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data.

Authors:  Matthew F Glasser; Timothy S Coalson; Janine D Bijsterbosch; Samuel J Harrison; Michael P Harms; Alan Anticevic; David C Van Essen; Stephen M Smith
Journal:  Neuroimage       Date:  2018-08-02       Impact factor: 6.556

4.  Atypical Relationships Between Spontaneous EEG and fMRI Activity in Autism.

Authors:  Lisa E Mash; Brandon Keehn; Annika C Linke; Thomas T Liu; Jonathan L Helm; Frank Haist; Jeanne Townsend; Ralph-Axel Müller
Journal:  Brain Connect       Date:  2020-02

5.  Putting the "dynamic" back into dynamic functional connectivity.

Authors:  Stewart Heitmann; Michael Breakspear
Journal:  Netw Neurosci       Date:  2018-06-01

6.  Dynamic functional connectivity in schizophrenia and autism spectrum disorder: Convergence, divergence and classification.

Authors:  Liron Rabany; Sophy Brocke; Vince D Calhoun; Brian Pittman; Silvia Corbera; Bruce E Wexler; Morris D Bell; Kevin Pelphrey; Godfrey D Pearlson; Michal Assaf
Journal:  Neuroimage Clin       Date:  2019-08-01       Impact factor: 4.891

7.  Nonreplication of functional connectivity differences in autism spectrum disorder across multiple sites and denoising strategies.

Authors:  Ye He; Lisa Byrge; Daniel P Kennedy
Journal:  Hum Brain Mapp       Date:  2020-01-09       Impact factor: 5.038

8.  The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI.

Authors:  Hannes Almgren; Frederik Van de Steen; Adeel Razi; Karl Friston; Daniele Marinazzo
Journal:  Neuroimage       Date:  2019-12-06       Impact factor: 6.556

9.  The psychological correlates of distinct neural states occurring during wakeful rest.

Authors:  Theodoros Karapanagiotidis; Diego Vidaurre; Andrew J Quinn; Deniz Vatansever; Giulia L Poerio; Adam Turnbull; Nerissa Siu Ping Ho; Robert Leech; Boris C Bernhardt; Elizabeth Jefferies; Daniel S Margulies; Thomas E Nichols; Mark W Woolrich; Jonathan Smallwood
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

10.  Topography and behavioral relevance of the global signal in the human brain.

Authors:  Jingwei Li; Taylor Bolt; Danilo Bzdok; Jason S Nomi; B T Thomas Yeo; R Nathan Spreng; Lucina Q Uddin
Journal:  Sci Rep       Date:  2019-10-03       Impact factor: 4.379
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